De-Identification of Unstructured Data
According to one organization, 80 percent of medical record data will be unstructured within the next two years. Unstructured data can be a critical source of new insights, innovation and knowledge for research hospitals and organizations, medical device companies, insurance companies and medical claims processors, among others. It is possible to share text, PDF, Word or XML data – but a solid strategy built on mitigating risk needs to be developed. This white paper outlines considerations for leveraging this type of data, and outlines the best approach to setting up a risk-based method for de-identification.
“Without this technology a lot of research we want to do would grind to a halt.”
– Dr. Mark Walker, Scientific Director and Co-director of the BORN Registry
Situation: California’s Consumer Privacy Act inspired Comcast to evolve the way in which they protect the privacy of customers who consent to share personal information with them.
Situation: Integrate.ai’s AI-powered tech helps clients improve their online experience by sharing signals about website visitor intent. They wanted to ensure privacy remained fully protected within the machine learning / AI context that produces these signals.
Situation: Novartis’ digital transformation in drug R&D drives their need to maximize value from vast stores of clinical study data for critical internal research enabled by their data42 platform.
Situation: CancerLinQ™, a subsidiary of American Society of Clinical Oncology, is a rapid learning healthcare system that helps oncologists aggregate and analyze data on cancer patients to improve care. To achieve this goal, they must de-identify patient data provided by subscribing practices across the U.S.
Situation: Needed to ensure the primary market research process was fully compliant with internal policies and regulations such as GDPR.
Situation: Needed to enable AI-driven product innovation with a defensible governance program for the safe and responsible use
of voice-to-text data under Shrems II.
This course runs on the 2nd Wednesday of every month, at 11 a.m. ET (45 mins). Click the button to register and select the date that works best for you.